论文标题
基于流行病学的建模软件（EpiABM）
Epidemiological Agent-Based Modelling Software (Epiabm)
论文作者
论文摘要
EpiaBM是一个经过全面测试的开源软件包，用于基于流行病学代理的建模，重新实现了伦敦帝国学院MRC全球传染病分析中心的著名Covidsim模型。它是EPSRC SABS一年级培训计划的一部分：牛津大学R3博士培训中心。该模型建立了一个年龄分层的空间异质种群，并提供了一种模块化的方法来配置和运行流行病，从而允许广泛的调查和比较研究范围。提供了两个模拟后端：教学Python后端（具有完整功能）和高性能C ++后端，可用于较大的人群模拟。两者都是高度模块化的，具有全面的测试和文档，以便于理解和可扩展性。 EpiaBM可通过https://github.com/sabs-r3-epidemiology/epiabm公开获得。
Epiabm is a fully tested, open-source software package for epidemiological agent-based modelling, re-implementing the well-known CovidSim model from the MRC Centre for Global Infectious Disease Analysis at Imperial College London. It has been developed as part of the first-year training programme in the EPSRC SABS:R3 Centre for Doctoral Training at the University of Oxford. The model builds an age-stratified, spatially heterogeneous population and offers a modular approach to configure and run epidemic scenarios, allowing for a broad scope of investigative and comparative studies. Two simulation backends are provided: a pedagogical Python backend (with full functionality) and a high performance C++ backend for use with larger population simulations. Both are highly modular, with comprehensive testing and documentation for ease of understanding and extensibility. Epiabm is publicly available through GitHub at https://github.com/SABS-R3-Epidemiology/epiabm.
